Dataset of mutational analysis, miRNAs targeting SARS-CoV-2 genes and host gene expression in SARS-CoV and SARS-CoV-2 infections
The identification of host-miRNAs targeting mutated virus genes is crucial to understand the miRNA mediated host-defense mechanism in virus infections. To understand the mechanism in COVID-19 infections, we collected genome sequences of SARS-CoV-2 with its metadata from the GISAID database (submitte...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2020-10-01
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| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S235234092031101X |
| _version_ | 1818260591832203264 |
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| author | Rahila Sardar Deepshikha Satish Shweta Birla Dinesh Gupta |
| author_facet | Rahila Sardar Deepshikha Satish Shweta Birla Dinesh Gupta |
| author_sort | Rahila Sardar |
| collection | DOAJ |
| description | The identification of host-miRNAs targeting mutated virus genes is crucial to understand the miRNA mediated host-defense mechanism in virus infections. To understand the mechanism in COVID-19 infections, we collected genome sequences of SARS-CoV-2 with its metadata from the GISAID database (submitted till April 2020) and identified mutational changes in the sequences. The dataset consists of genes with mutation event count and entropy scores. We predicted host-miRNAs targeting the genes in the genomes and compared it with that in related viral species. We have identified 2284 miRNAs targeting MERS genomes, 2074 miRNAs targeting SARS genomes, and 1599 miRNAs targeting SARS-CoV-2 genomes, identified using the miRNA target prediction software miRanda. The host miRNAs targeting SARS-CoV-2 genes were further validated to be anti-viral miRNAs and their role in respiratory diseases through a literature survey, which helped in the identification of 42 conserved antiviral miRNAs. The data could be used to validate the anti-viral role of the predicted miRNAs and design miRNA-based therapeutics against SARS-CoV-2. |
| first_indexed | 2024-12-12T18:33:46Z |
| format | Article |
| id | doaj.art-06085157f62f4a768a84870384e0aadb |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-12-12T18:33:46Z |
| publishDate | 2020-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-06085157f62f4a768a84870384e0aadb2022-12-22T00:15:51ZengElsevierData in Brief2352-34092020-10-0132106207Dataset of mutational analysis, miRNAs targeting SARS-CoV-2 genes and host gene expression in SARS-CoV and SARS-CoV-2 infectionsRahila Sardar0Deepshikha Satish1Shweta Birla2Dinesh Gupta3Translational Bioinformatics Group, International Centre for Genetic Engineering & Biotechnology (ICGEB), New Delhi, India; Department of Biochemistry, Jamia Hamdard, New Delhi, IndiaTranslational Bioinformatics Group, International Centre for Genetic Engineering & Biotechnology (ICGEB), New Delhi, IndiaTranslational Bioinformatics Group, International Centre for Genetic Engineering & Biotechnology (ICGEB), New Delhi, IndiaTranslational Bioinformatics Group, International Centre for Genetic Engineering & Biotechnology (ICGEB), New Delhi, India; Corresponding author.The identification of host-miRNAs targeting mutated virus genes is crucial to understand the miRNA mediated host-defense mechanism in virus infections. To understand the mechanism in COVID-19 infections, we collected genome sequences of SARS-CoV-2 with its metadata from the GISAID database (submitted till April 2020) and identified mutational changes in the sequences. The dataset consists of genes with mutation event count and entropy scores. We predicted host-miRNAs targeting the genes in the genomes and compared it with that in related viral species. We have identified 2284 miRNAs targeting MERS genomes, 2074 miRNAs targeting SARS genomes, and 1599 miRNAs targeting SARS-CoV-2 genomes, identified using the miRNA target prediction software miRanda. The host miRNAs targeting SARS-CoV-2 genes were further validated to be anti-viral miRNAs and their role in respiratory diseases through a literature survey, which helped in the identification of 42 conserved antiviral miRNAs. The data could be used to validate the anti-viral role of the predicted miRNAs and design miRNA-based therapeutics against SARS-CoV-2.http://www.sciencedirect.com/science/article/pii/S235234092031101XCOVID-19MutationAntiviralmiRNAGene expression |
| spellingShingle | Rahila Sardar Deepshikha Satish Shweta Birla Dinesh Gupta Dataset of mutational analysis, miRNAs targeting SARS-CoV-2 genes and host gene expression in SARS-CoV and SARS-CoV-2 infections Data in Brief COVID-19 Mutation Antiviral miRNA Gene expression |
| title | Dataset of mutational analysis, miRNAs targeting SARS-CoV-2 genes and host gene expression in SARS-CoV and SARS-CoV-2 infections |
| title_full | Dataset of mutational analysis, miRNAs targeting SARS-CoV-2 genes and host gene expression in SARS-CoV and SARS-CoV-2 infections |
| title_fullStr | Dataset of mutational analysis, miRNAs targeting SARS-CoV-2 genes and host gene expression in SARS-CoV and SARS-CoV-2 infections |
| title_full_unstemmed | Dataset of mutational analysis, miRNAs targeting SARS-CoV-2 genes and host gene expression in SARS-CoV and SARS-CoV-2 infections |
| title_short | Dataset of mutational analysis, miRNAs targeting SARS-CoV-2 genes and host gene expression in SARS-CoV and SARS-CoV-2 infections |
| title_sort | dataset of mutational analysis mirnas targeting sars cov 2 genes and host gene expression in sars cov and sars cov 2 infections |
| topic | COVID-19 Mutation Antiviral miRNA Gene expression |
| url | http://www.sciencedirect.com/science/article/pii/S235234092031101X |
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